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Robot Manipulation

Papers

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Showing 301–350 of 430 papers

TitleStatusHype
GPT-4V(ision) for Robotics: Multimodal Task Planning from Human Demonstration—0
GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation—0
Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3—0
GRIP: Generative Robust Inference and Perception for Semantic Robot Manipulation in Adversarial Environments—0
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations—0
HACMan++: Spatially-Grounded Motion Primitives for Manipulation—0
HACTS: a Human-As-Copilot Teleoperation System for Robot Learning—0
HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation—0
Hand-Object Contact Consistency Reasoning for Human Grasps Generation—0
Hand-Object Interaction Pretraining from Videos—0
Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition—0
Human-in-the-Loop Imitation Learning using Remote Teleoperation—0
Human-oriented Representation Learning for Robotic Manipulation—0
An Attention Transfer Model for Human-Assisted Failure Avoidance in Robot Manipulations—0
Hypothesis-based Belief Planning for Dexterous Grasping—0
ImageManip: Image-based Robotic Manipulation with Affordance-guided Next View Selection—0
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models—0
Imitating Task and Motion Planning with Visuomotor Transformers—0
Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic Motivation—0
Incentivizing Multimodal Reasoning in Large Models for Direct Robot Manipulation—0
InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions—0
Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery—0
Graph Inverse Reinforcement Learning from Diverse Videos—0
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data—0
Is Single-View Mesh Reconstruction Ready for Robotics?—0
Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping—0
Language-Conditioned Imitation Learning with Base Skill Priors under Unstructured Data—0
Language-Guided Adaptive Perception for Efficient Grounded Communication with Robotic Manipulators in Cluttered Environments—0
Latent Weight Diffusion: Generating reactive policies instead of trajectories—0
Learning a Universal Human Prior for Dexterous Manipulation from Human Preference—0
Learning by Watching: A Review of Video-based Learning Approaches for Robot Manipulation—0
SwingBot: Learning Physical Features from In-hand Tactile Exploration for Dynamic Swing-up Manipulation—0
The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning—0
Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation—0
Toward Abstraction from Multi-modal Data: Empirical Studies on Multiple Time-scale Recurrent Models—0
Towards a Framework for Changing-Contact Robot Manipulation—0
Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans—0
Towards More Generalizable One-shot Visual Imitation Learning—0
Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation—0
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies—0
Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot Manipulation—0
Training Robots without Robots: Deep Imitation Learning for Master-to-Robot Policy Transfer—0
Trajectory Adaptation using Large Language Models—0
Transformer-based deep imitation learning for dual-arm robot manipulation—0
Translating Natural Language Instructions to Computer Programs for Robot Manipulation—0
TRL: Discriminative Hints for Scalable Reverse Curriculum Learning—0
Two by Two: Learning Multi-Task Pairwise Objects Assembly for Generalizable Robot Manipulation—0
Under Pressure: Learning to Detect Slip with Barometric Tactile Sensors—0
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies—0
UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent—0
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All datasetsCALVINRLBenchSimplerEnv-Google RobotMimicGenSimplerEnv-Widow X

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DreamVLAavg. sequence length (D to D)4.44—Unverified
2VPPavg. sequence length (D to D)4.29—Unverified
3RoboVLMsavg. sequence length (D to D)4.25—Unverified
4Openhelixavg. sequence length (D to D)4.08—Unverified
5UP-VLAavg. sequence length (D to D)4.08—Unverified
6GR-MGavg. sequence length (D to D)4.04—Unverified
7MoDEavg. sequence length (D to D)4.01—Unverified
8RoboUniViewavg. sequence length (D to D)3.86—Unverified
9UniVLAavg. sequence length (D to D)3.8—Unverified
10RoboDualavg. sequence length (D to D)3.66—Unverified
#ModelMetricClaimedVerifiedStatus
1EquActSucc. Rate (18 tasks, 100 demo/task)89.4—Unverified
2SAM2ActSucc. Rate (18 tasks, 100 demo/task)86.8—Unverified
3ARP+Succ. Rate (18 tasks, 100 demo/task)84.9—Unverified
43D-LOTUSSucc. Rate (18 tasks, 100 demo/task)83.1—Unverified
5RVT-2Succ. Rate (18 tasks, 100 demo/task)81.4—Unverified
63D Diffuser ActorSucc. Rate (18 tasks, 100 demo/task)81.3—Unverified
7Mini DiffuserSucc. Rate (18 tasks, 100 demo/task)77.6—Unverified
8SAM-ESucc. Rate (18 tasks, 100 demo/task)70.6—Unverified
9Auto-λSucc. Rate (10 tasks, 100 demos/task)69.3—Unverified
10Act3DSucc. Rate (18 tasks, 100 demo/task)65—Unverified
#ModelMetricClaimedVerifiedStatus
1SoFarVisual Matching0.75—Unverified
2SpatialVLAVisual Matching0.72—Unverified
3Dita-300MVisual Matching0.69—Unverified
4RT-2-XVisual Matching0.61—Unverified
5RoboVLMVisual Matching0.56—Unverified
6RT-1-XVisual Matching0.53—Unverified
7TraceVLAVisual Matching0.46—Unverified
8OpenVLAVisual Matching0.28—Unverified
9Octo-BaseVisual Matching0.17—Unverified
#ModelMetricClaimedVerifiedStatus
1SDPSucc. Rate (12 tasks, 100 demo/task)76—Unverified
2EquiDiff (Voxel)Succ. Rate (12 tasks, 100 demo/task)63.9—Unverified
3EquiDiff (Image)Succ. Rate (12 tasks, 100 demo/task)53.7—Unverified
4DP (Evaluated in EquiDiff)Succ. Rate (12 tasks, 100 demo/task)42—Unverified
5DP3 (Evaluated in EquiDiff)Succ. Rate (12 tasks, 100 demo/task)23.9—Unverified
6BC RNN (Evaluated in EquiDiff)Succ. Rate (12 tasks, 100 demo/task)22.9—Unverified
7ACT (Evaluated in EquiDiff)Succ. Rate (12 tasks, 100 demo/task)21.3—Unverified
#ModelMetricClaimedVerifiedStatus
1SoFarAverage0.58—Unverified
2SpatialVLAAverage0.34—Unverified
3Octo-SmallAverage0.3—Unverified
4Octo-BaseAverage0.16—Unverified
5RoboVLMAverage0.14—Unverified
6RT-1-XAverage0.01—Unverified
7OpenVLAAverage0.01—Unverified